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1 ls chained together in an operation called a workflow.
2 or trace samples), into a top-down proteomic workflow.
3 -gene epistasis through a two-stage modeling workflow.
4 on for routine medical decisions into clinic workflow.
5 alytical and clinical performance as well as workflow.
6 enzymes, Nepenthesin II (NepII), in a HDX-MS workflow.
7 eproducibility and costs in the complete NGS workflow.
8 glycogen is measured within the metabolomics workflow.
9 run individually or together in an automated workflow.
10 , without perturbing the existing diagnostic workflow.
11 lustering should be the foremost step of the workflow.
12  not dependent on RPPA platform and analysis workflow.
13 iterature, leading to a universal autonomous workflow.
14 3D cell environment in a fully automated HTS workflow.
15 ssay optimization and streamlining the assay workflow.
16 ems that are employed in the same analytical workflow.
17 causing genes were prioritised in a stepwise workflow.
18 ial and fungal species using a sub-60-minute workflow.
19 tic loss of signal for the standard clinical workflow.
20 s the rate-limiting step of the experimental workflow.
21  of clinical expertise and multiple clinical workflows.
22 ily implemented in standard and microfluidic workflows.
23 gistical challenges which interrupt surgical workflows.
24  critical step in volatile compound analysis workflows.
25  be readily integrated into existing droplet workflows.
26 andardised and readable statistical analysis workflows.
27  staple of network-based gene classification workflows.
28 tforms using distinct instrument set-ups and workflows.
29 andable Dockerfiles for typical data science workflows.
30  and are now integral to medicinal chemistry workflows.
31 not an established part of many experimental workflows.
32 g for easy implementation in decontamination workflows.
33 the WSH scores for integration into analysis workflows.
34 or machine-driven medicinal chemistry design workflows.
35  proteome coverage and have relied on manual workflows.
36 ns as an automated part of existing internal workflows.
37  engineering, drug discovery, and diagnostic workflows.
38 t to implement a GCxGC approach into routine workflows.
39 ding the need to work toward more integrated workflows.
40  designs, assembly plans, samples, data, and workflows; 2) developing new technologies for data curat
41    To construct the optimization informatics workflow, a number of critical components had to be subj
42 ting stable isotope-labeled standards, these workflows allow the determination of endogenous protein
43                            The optimized CBS workflow allows for rapid and high-throughput screening
44                        The modularity of the workflow also allows for the characterization of phospho
45        Here, in addition to the standard SPS workflow, an electron-transfer dissociation (ETD) MS2 wa
46 rotocol was embedded in a shotgun-proteomics workflow and applied to serum spiked with the sulfopepti
47 ased genotype array coupled with an analysis workflow and database for the most speciose genus of cor
48                                      The PCS workflow and documentation are demonstrated in a genomic
49            Our framework, composed of both a workflow and documentation, aims to provide responsible,
50              In addition, we will describe a workflow and path of an integrated multi-omic approach t
51 struction that is divorced from the everyday workflow and practices within laboratories and is design
52 P-MIMS-LEI/CI, particularly given the simple workflow and short analytical duty cycle.
53                           By simplifying the workflow and shortening the development cycle of NAATs,
54  describes the GlyGen data model, processing workflow and the data access interfaces featuring progra
55  was integrated into a liquid chromatography workflow and used to evaluate profiles of sites of unsat
56                                    Using our workflow and within minutes, ISO reduced the levels of m
57 le describes predominant methods of studying workflow and workarounds and provides examples of the ap
58                       Challenges to studying workflow and workarounds are described, and recommendati
59 n two use cases: (i) integration with Galaxy workflows and (ii) using Epiviz to create a custom genom
60    However, coordinating and integrating the workflows and large teams necessary for gigabase genome
61 ons provide valuable guidance on choosing ML workflows and their tuning to generate well-calibrated C
62 networks at different stages of the analysis workflow, and compared these to established computer vis
63  dynamic, with no disruption to the clinical workflow, and needs to operate at low cost.
64 s health are poorly integrated with clinical workflows, and have rarely produced actionable biometric
65 n steps, limit the throughput of high-volume workflows, and prevent the harmonization of diverse expe
66 ve resulted in improved FCOTS, perioperative workflows, and user satisfaction.
67 ures, modification of laboratory/pathologist workflows, appropriate reimbursement/cost-offsetting mod
68 owever, some adjustments of the metabolomics workflow are needed before HRMS-based methods can detect
69                              Quantitative MS workflows are complex experimental chains and it is cruc
70 rge cost savings especially when multiplexed workflows are considered.
71 dard, we validate RNA extraction and RT-qPCR workflows as well as two detection assays based on CRISP
72                                          Our workflow assesses inflammasome activation via the format
73                                       Our QC workflow automatically handles assay-specific phenotypic
74           Here we propose a novel and simple workflow based on capillary zone electrophoresis-tandem
75       A new untargeted NMR-based metabolomic workflow based on dissolution dynamic nuclear polarizati
76 ata, we present and validate a computational workflow based on kallisto and bustools, that utilizes r
77 this, here we describe a buffer modification workflow (BMW) in which the same sample is run by LC-MS
78             We present a novel cell-level QC workflow built on machine learning approaches for classi
79 tend an established targeted data extraction workflow by inclusion of the ion mobility dimension for
80              We demonstrate the merit of our workflow by reanalyzing a public human dataset.
81                                      In this workflow, calibration curves for every metabolic feature
82 ased on these SNP markers were combined in a workflow called the Standard Tools for Acroporid Genotyp
83                     We demonstrated that our workflow can be applied to arbitrary 2D or 3D surfaces.
84 show that a randomized splint ligation based workflow can reduce bias and increase the sensitivity of
85 ults demonstrate how standard mass cytometry workflows can be modified to perform high-throughput mul
86                       Several interconnected workflows can be used to generate: (i) interactive graph
87 d described each tracking package based on a workflow centred around tracking data (i.e. spatio-tempo
88                              The established workflow combines carbene footprinting, extended liquid
89 Hence this simple, versatile and informative workflow could be applicable for routine diagnostic test
90                                          The workflow could form the basis for an integrated process,
91                                          The workflow covers all steps from raw data handling, featur
92                            Overall, the full workflow (data acquisition and analysis) for both 3D and
93                                          Our workflow demonstrated an increased identification of pep
94                        This novel analytical workflow demonstrated the ability to accurately profile
95            Finally, we demonstrate that this workflow detects more differentially expressed miRNA bet
96                            Nevertheless, our workflow determines optimal samples for effective sequen
97 ects of the cryo-EM single-particle analysis workflow (e.g., sample preparation, image acquisition an
98 line fractionation strategies, our optimized workflow effectively eliminated the need for sample desa
99           Here we describe a systems biology workflow employing plate-based sample preparation and ra
100                            Our cell-level QC workflow enables identification of artificial cells crea
101 n to the field, covering the basic radiomics workflow: feature calculation and selection, dimensional
102                We piloted a rapid WGS (rWGS) workflow, focusing initially on estimating power for a f
103 eloped here offers a robust and reproducible workflow for accurately determining PG composition in sa
104   Here, we show an N. gonorrhoeae diagnostic workflow for analysis of metagenomic sequencing data obt
105                                   A complete workflow for assembly and evaluation of qAOPs has been p
106 ward this goal, here we present a convenient workflow for cryo-EM structural analysis of MPs embedded
107 s the development and application of a novel workflow for designing and fabricating orthoses, using a
108            Here we describe a reference-free workflow for diploid de novo genome assembly that combin
109                         Here, we introduce a workflow for dose-response metabolomics to evaluate chem
110   Here, we report a comprehensive analytical workflow for IgA1 HR O-glycoform analysis.
111 ransplantation, a unique, highly coordinated workflow for image acquisition and processing was design
112                                 The existing workflow for intraoperative diagnosis based on hematoxyl
113 ucleic Acids from RDTs) approach; a complete workflow for large-scale molecular malaria surveillance.
114     In our study, we developed an integrated workflow for multiplex analysis of global, glyco-, and p
115 developed Dropception, a robust, easy-to-use workflow for precise single-cell encapsulation into pico
116  create a quantitative and higher throughput workflow for producing palynological identifications and
117 y active for up to 72 h, and a semiautomated workflow for quantitative analysis of real-time in-cell
118 re, we present scHLAcount, a post-processing workflow for single-cell RNA-seq data that computes alle
119 e fragment library allowed us to establish a workflow for targeted extraction of MAAs.
120  Here, we present a scalable, HTS-compatible workflow for the automated generation, maintenance, and
121     Indeed, our main contribution is a novel workflow for the automatic construction of such similari
122 tical sensitivity, clinical performance, and workflow for the detection of SARS-CoV-2 in nasopharynge
123            Our aim was to define an original workflow for the purification and systematic characteriz
124                                 We present a workflow for the robust fitting of OMAM to experimental
125                                  The typical workflow for this type of data is based upon manually di
126 mitation, here we report an improved SPS/ETD workflow for TMT-based intact glycopeptide quantificatio
127         This paper presents a bioinformatics workflow for using RNA-seq data to discover novel altern
128  a "gold standard" approach and experimental workflow for validating gene transfer to adipose tissue.
129 s toolbox can be used to build data-analysis workflows for metabolomics and other omics technologies.
130 l enable the broader use of gHDX in MS-based workflows for molecular identification and isomer differ
131 ctrometry (IMS) separation to existing LC-MS workflows for PFAS analysis.
132 However, there is a need for more integrated workflows for processing and managing the resultant high
133                                   End-to-end workflows for processing GCxGC data are challenging and
134             Moreover, GeneTrail offers novel workflows for the analysis of epigenetic marks, time ser
135                   We present novel tools and workflows for the detection of different alteration type
136                                Bioinformatic workflows frequently make use of automated genome assemb
137                     By automating the entire workflow from generation to analysis, we enhance the int
138      We have adapted ribosome profiling (RP) workflows from the Illumina to the Ion Proton platform a
139                       We describe a complete workflow, from methods for modifying a given genomic loc
140 nto existing healthcare systems and clinical workflows, harm resulting from potential false positives
141                                          Our workflow has been proven to be an effective alternative
142 ndows and analyze each one, a time-consuming workflow has been significantly simplified.
143 ide valuable information, incorporation into workflows has been difficult.
144 obility separation to LESA mass spectrometry workflows has shown significant improvements in the sign
145            Several automated data processing workflows have been developed to handle the immense amou
146                                              Workflows have been extensively validated and cross-comp
147 y-fluorescence-mass spectrometry (LC-FLR-MS) workflows have been limited with only a small amount of
148  was accomplished in 90 min with a walk-away workflow identical to real-time quantitative PCR (qPCR).
149          In addition to global proteome, the workflow identified phosphopeptides and glycopeptides fr
150 d by profound challenges supporting clinical workflow, impeding frontline clinicians' ability to deli
151 141 plasma samples using a 96-well automated workflow in a pilot non-small cell lung cancer classific
152                   We demonstrated this novel workflow in a targeted metabolite analysis, showing that
153                           Application of our workflows in well-phenotyped large cohorts maybe benefic
154                         Most data processing workflows include similar steps, but underlying algorith
155            Statistical validation within the workflow included repeated runs of stochastic steps and
156                                          The workflow includes algorithms to relax geometry, distribu
157                         The typical radiomic workflow includes image acquisition, segmentation, featu
158                                 The proposed workflow includes three steps: (1) Design automation-eff
159 tworks were linked to HF risk in a multistep workflow, including machine learning-based identificatio
160  networking infrastructure enables radiology workflows incorporating AI.
161 design, scripts of the quantitative analysis workflow, intermediate input and output files, as well a
162                                   This makes workflows involving Skyline and Panorama more reproducib
163                                         This workflow is agnostic to the physical system and could be
164                                         This workflow is applicable to both cell and tissue samples.
165                                          The workflow is applied to a clinically relevant translation
166                          The utility of this workflow is demonstrated with duplexed detection of bact
167                                          The workflow is designed to maximize the diagnostic yield an
168     As RCM is being adopted more widely, the workflow is expanding from real-time diagnosis at the be
169 tube-based high-throughput sample processing workflow is imperative to ensure sensitive, quantitative
170 in-modifying enzymes, demonstrating that our workflow is not restricted to reconstituted materials.
171            The results demonstrate that this workflow is suitable for TMT-based intact glycopeptide c
172                                     Clinical workflow is the enactment of a series of steps to perfor
173 the biological questions being asked, a core workflow is used in most analyses.
174                                         This workflow is well suited to biological samples that canno
175 the development of specialized computational workflows is enabling systematic identification of BGCs
176 that are formally described using the Common Workflow Language, enabling greater provenance, reusabil
177 tems (WMS), e.g. Snakemake, Nextflow, Common Workflow Language, Galaxy, etc.
178 r post-enrichment and simplifies single-cell workflows, making it useful for other applications in si
179 n R, Bash and uses a Snakemake pipeline as a workflow management system.
180 considerable computing resources and several workflow management systems (WMS), e.g. Snakemake, Nextf
181 created for image enhancement, reporting, or workflow management was excluded.
182  the recommended strategy in a computational workflow named NeoFlow to support proteogenomics-based n
183 wo common proteomics relative quantification workflows, namely label-free and tandem mass tag-based e
184                                          The workflow of creating this novel nano-3D-printed digital
185  on data processing as a crucial step in the workflow of nontarget screening.
186    However, the effective implementation and workflow of RDTs are still a matter of debate, particula
187    The method is implemented in the existing workflow of the apLCMS platform.
188                                    The whole workflow of the procedure is clearly described, and open
189 ization of SFE as a part of future screening workflows of microbial natural products.
190 ome of these challenges, microbiome analysis workflows often normalize the read counts prior to downs
191                            We illustrate our workflow on a large data set that contains bacterial spe
192                            We compared these workflows on a recently published brain tumor 450k DNA m
193                           The smart rotation workflow outperforms the conventional approach without a
194                       The complexity of this workflow poses formidable technical challenges, thus lim
195                                          The workflow presented here relies on the following sequenti
196                            The data analysis workflow presented implements an approach to study chang
197                  Finally, this multireaction workflow presents an opportunity to build statistical mo
198 atory features historically required complex workflows, preventing widespread adoption by the broad s
199 development was performed utilizing an Agile workflow process optimization with the Scrum framework.
200 ed orbital prosthesis using this fabrication workflow produced good symmetry, color match, and prosth
201 red with standard gating, the results of our workflow provide new insights in cellular subsets, alter
202                               Our integrated workflow provided an effective platform for simultaneous
203 ormaticians are able to deploy data analysis workflows (recipes) that their collaborators can execute
204                         We assessed surgical workflow recognition and report a deep learning system,
205                                          The workflow relies heavily on the input of a multidisciplin
206 identification within the LESA FAIMS imaging workflow remains a challenge.
207 ever, the conventional bottom-up MS analysis workflows require an enzymatic digestion step which can
208 ndard approaches, this article helps advance workflow research that ultimately serves to inform how t
209             First, the structural annotation workflow results in gene and other feature calls.
210                              A data analysis workflow revealed that distinctive spectral signatures w
211 y and support of reproducibility; in turn, a workflow's reproducibility can be greatly affected by th
212 ssible super-resolution imaging and analysis workflow-SEQUIN-that quantifies central synapses in huma
213  into existing single-beam and multibeam SEM workflows should be straightforward, increasing reliabil
214 ive data-independent acquisition (HRMS1-DIA) workflow shows that coordinated proteotype data acquisit
215 th diagnostic tests, including multiplexing, workflow simplicity, and reduced turnaround time and cos
216 junction with our ready-to-use computational workflows, STRIPE-seq is a straightforward, efficient me
217                           A proof-of-concept workflow study for the fabrication of custom orbital exe
218 ons of the utility of IMS in high-throughput workflows such as liquid chromatography-fluorescence-mas
219 on of breast cancer without prolonging their workflow.Supplemental material is available for this art
220 st enough to enhance and accelerate clinical workflows.Supplemental material is available for this ar
221          To facilitate inclusion of miEAA in workflow systems, we implemented an Application Programm
222 different sample preparation and MS analysis workflows, targeted different PTEN peptides, and were pe
223  report an MS1 automatized suspect screening workflow that allows for a rapid preannotation of HRMS d
224                           Here, we present a workflow that allows mass spectrometric (MS) identificat
225 ll Morphometry 3D (BCM3D), an image analysis workflow that combines deep learning with mathematical i
226  This is followed by a functional annotation workflow that combines sequence comparisons and conserve
227                                 Here a novel workflow that combines Untargeted and Targeted (UT) fing
228     This review presents a clinical practice workflow that has been successful since (177)Lu DOTATATE
229              Here, we report a metaproteomic workflow that involves protein stable isotope probing (p
230                        Here, we describe the workflow that led to the automated radiosynthesis of the
231          We demonstrate a library generation workflow that leverages fragmentation and retention time
232 esponsibilities in order to support clinical workflow that more consistently delivers on the potentia
233 escribe an improved GC-MS-based metabolomics workflow that uses insoluble protein-derived glutamate f
234 upport improved nurses work environments and workflow that will enhance nursing care interventions.
235 n designed to provide separate, reproducible workflows that (i) can determine the overall quality of
236  post-processing algorithms and developed ML workflows that allow for unbiased class probability (CP)
237 mprehensive R package for geneset enrichment workflows that offers multiple enrichment, visualization
238                       We developed automated workflows that researchers can use to streamline program
239 mer additive in otherwise traditional curing workflows, the resulting materials can display the same
240 ntals regarding algorithms and best-practice workflows, the review covers different applications of m
241 ng a rapid diet screener tool into clinician workflows through the electronic health record.
242              We present a fast and efficient workflow to analyze highly imbalanced, targeted next-gen
243                          We then applied the workflow to characterize a 40 kDa 8-arm polyethylene gly
244   Our systematic and high-throughput genetic workflow to characterize phage-host interaction determin
245              We developed a machine learning workflow to classify single cells according to their mas
246                We developed a bioinformatics workflow to discover alternative splicing biomarkers fro
247 ped a sample drying, extraction, and loading workflow to enable reproducible and reliable sample inje
248 ional biosensors, provide a characterisation workflow to facilitate forward engineering efforts, exem
249                                  We used the workflow to generate 1,772 general classification labels
250 ve Isoform analysis of RNA), a computational workflow to identify high-confidence transcripts, perfor
251 epts of such analyses and provide a detailed workflow to illustrate their implications and additional
252 successful application of this HTE screening workflow to internal projects.
253  In conclusion, our data help to establish a workflow to obtain high-quality control data for diagnos
254 a generic method with a dedicated processing workflow to obtain these two sets of information simulta
255 ly, we organize the resource into a coherent workflow to prioritize key elements and variants, in add
256              The broad applicability of this workflow to rapidly isolate improved strains from a vari
257                           Here, we present a workflow to rapidly isolate SVs and to interrogate their
258                   Here we present an updated workflow to sequentially isolate phosphopeptides and N-g
259 ce/external scripts and tools, tailoring the workflow to the needs of the individual researcher withi
260 y the fact that no two teams chose identical workflows to analyse the data.
261           We provide eight different modular workflows to be followed in a recommended sequential ord
262                             We then designed workflows to enable the community to store, process, sha
263 , DecontX can be incorporated into scRNA-seq workflows to improve downstream analyses.
264 of the technologies utilized to couple these workflows to mass spectrometers have significant limitat
265 nteractoMIX includes a range of ready-to-use workflows to run complex analyses requiring minimal inte
266                Clinicians reported a lack of workflows to support patient use of portals in routine p
267 cluding clinical decision support, automated workflow triage, clinical prediction and more.
268 identifier (UMI)-linked consensus sequencing workflow (UMIC-seq) that simplifies mapping of evolution
269                                      The PCS workflow uses predictability as a reality check and cons
270 rol in the increasingly complex life science workflows ushered in by synthetic biology.
271          We demonstrate the application of a workflow using GAMer 2 to a series of electron micrograp
272  by PCA and PLS-DA was also achieved by this workflow using XCMS, even for the concentration of 5 mug
273    Here we present an automated benchmarking workflow, using synthetic shotgun sequencing reads for w
274                        Here we demonstrate a workflow utilizing native MS and ultraviolet photodissoc
275                  We then employ metabolomics workflows utilizing gas chromatography mass spectrometry
276                       In addition, radiology workflows, volumes, and access must be optimized in prep
277                                Finally, this workflow was applied for the site-specific quantitative
278                                         This workflow was applied to characterize unknown disulfide/t
279                                         This workflow was applied to the resistance profiles of 14 an
280                                         This workflow was automated and applied to characterize subst
281                                          The workflow was demonstrated on data from GCxGC-TOFMS.
282                                          The workflow was developed to generate 3D printable geometry
283                                            A workflow was developed to select transformation products
284                                          The workflow was tested using serum IgA1 from healthy subjec
285                                 A multiproxy workflow was used to assess >60 plant protection product
286                           As part of the PCS workflow, we develop PCS inference procedures, namely PC
287                                   New system workflows were created to accommodate the new visit meth
288 erforms state-of-the-art scRNA-Seq detection workflows when applied to well-established benchmarks.
289 ced crosslinking mass spectrometry (fliX-MS) workflow, which allows the mapping of protein-DNA contac
290 ethods predominantly are based on a targeted workflow, which can limit their scope.
291 Taken together, we present a well-documented workflow, which utilizes existing high-dimensional singl
292 of our optimizations, we report an optimized workflow with an extraction time of 10 min, 150 mug of m
293 e Prereg Challenge format was a "structured" workflow with detailed instructions and an independent r
294 high-level overview of the radiation therapy workflow with discussion of the implications that AI is
295                    We validated the complete workflow with experiments on two simple planar structure
296                The compatibility of this new workflow with low sample volumes is highly valuable sinc
297                  Integration of the PhotoPPI workflow with quantitative LC-MS/MS enabled unbiased int
298 hers the possibility of writing reproducible workflows with automated queries to RegulonDB.
299 d by a CI team with the goal to optimize the workflow within our EHR, improve operative room metrics
300         The complete system, using all eight workflows, would take up to a month, as it includes mult

 
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